README.md

working on it   


#### !! important - if you find any site that proposes free language models, make a suggestion and I will reverse engineer it and add it to this repo

**current sites (no auth/easy acc creation) (some already on this repo, some I am working on):**

- ora.sh (gpt 3.5)
- nat.dev (paid now, looking for bypass) (gpt 4/3.5)
- poe.com (gpt 4/3.5)
- writesonic.com (gpt 3.5 / internet)
- t3nsor.com (gpt 3.5)

**sites with auth (will reverse but need account):**

- chat.openai.com/chat
- bard.google.com
- bing.com/chat

### `poe` (use like openai pypi package) - gpt-4

Import poe:

```python
import poe

# poe.Account.create
# poe.Completion.create
# poe.StreamCompletion.create
```

Create Token (3-6s)
```python
token = poe.Account.create(logging = True)
print('token', token)
```

Streaming Response
```python

for response in poe.StreamingCompletion.create(model  = 'gpt-4',
    prompt = 'hello world',
    token  = token):
    
    print(response.completion.choices[0].text, end="", flush=True)
```

Normal Response:
```python

response = poe.Completion.create(model  = 'gpt-4',
    prompt = 'hello world',
    token  = token)

print(response.completion.choices[0].text)    
```     






### `t3nsor` (use like openai pypi package)   

Import t3nsor:

```python
import t3nsor

# t3nsor.Completion.create
# t3nsor.StreamCompletion.create
```

Example Chatbot
```python
messages = []

while True:
    user = input('you: ')

    t3nsor_cmpl = t3nsor.Completion.create(
        prompt   = user,
        messages = messages
    )

    print('gpt:', t3nsor_cmpl.completion.choices[0].text)
    
    messages.extend([
        {'role': 'user', 'content': user }, 
        {'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text}
    ])
```

Streaming Response:

```python
for response in t3nsor.StreamCompletion.create(
    prompt   = 'write python code to reverse a string',
    messages = []):

    print(response.completion.choices[0].text)
```

### `ora` (use like openai pypi package)   

example: 
```
# inport ora
import ora

# create model
model = ora.CompletionModel.create(
    system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
    description   = 'ChatGPT Openai Language Model',
    name          = 'gpt-3.5')

# init conversation (will give you a conversationId)
init = ora.Completion.create(
    model  = model,
    prompt = 'hello world')

print(init.completion.choices[0].text)

while True:
    # pass in conversationId to continue conversation
    
    prompt = input('>>> ')
    response = ora.Completion.create(
        model  = model,
        prompt = prompt,
        conversationId = init.id)
    
    print(response.completion.choices[0].text)
```